Website repository for my lab reports and other files for the Evolutionary Genomics and Bioinformatics course in Fall 2020.
What I do
I enjoy rowing and racing in a single scull on the Connecticut River in Northampton. I’ve medalled in a few races since I started rowing at the Northampton Community Rowing Club
In my research, I am using CRIPSR interference to repress genes in bacteria to determine which are associated with cell attachment and biofilm formation
Lab Reports
- Lab 1 - Introduction to R and Reproducible Research
- Lab 2 - git, GitHub, and RStudio projects
- Lab 3a - Data Carpentry Data Wrangling Tutorial part 1
- Lab 3b - Data Carpentry Data Wrangling Tutorial part 2
- Lab 4a - Data Wrangling and Graphing COVID-19 Reporting Data part 1
- Lab 4b - Data Carpentry ggplot2 Tutorial
- Lab 5 - Data Wrangling and Graphing COVID-19 Reporting Data part 2
- Lab 5x - Interactive Graphs and Animations
- Lab 6 - Mapping COVID-19 Reporting Data
- Lab 7 - RNA-seq Workflow
- Lab 8 - Sequence Alignment, Phylogenetic Analysis, and Tree Visualization and Tree Visualization with ggtree
- Lab 9 - Programming in R - Regular Expressions
- Lab 9x - Programming in R - Control Structures and Functions
- Lab 10 - Populatino Genomics Based on High-Throughput Sequencing (HTS)
- Lab 11 - Microbiome Analysis using DADA2
- Lab 11x - Microbiome Analysis using phyloseq
- Lab 12 - Network Analysis using Cytoscape and RCy3
- Lab 13 - Prettying up our GitHub Sites
All lab reports are written in R (R Core Team 2015).
REFERENCES
R Core Team. 2015. “R: A Language and Environment for Statistical Computing.” Journal Article. http://www.R-project.org.